Senior Data Scientist

Job not on LinkedIn

🔥 51 minutes ago

🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sigma Software Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2002

💼 Consulting

🏥 Healthcare

🚘 Automotive

Consulting • Healthcare • Automotive

Sigma Software Group is a multinational company, established in 2002, that specializes in providing high-quality software development, graphic design, testing, and support services. The company focuses on delivering solutions across various industries such as automotive, telecommunications, aviation, advertising, gaming, banking, real estate, and healthcare. Sigma Software values professional growth, offers remote work opportunities worldwide, and caters to world-renowned clients like AstraZeneca, Scania, and SAS. The company emphasizes a culture of continuous education, mentorship, and flexible work environments, making it a preferred workplace for IT specialists aiming to work on complex solutions utilizing cutting-edge technologies. Sigma Software is committed to innovative solutions and engineering the future while also contributing to social causes such as charitable work in Ukraine.

📋 Description

• Analyze and investigate existing detection logic built on multiple interconnected signals and rule-based expressions • Understand and map complex data flows, processing pipelines, and dependencies across enterprise systems • Identify redundancy, inefficiencies, and unnecessary complexity within current detection structures • Propose simplification and optimization approaches while preserving detection quality and operational effectiveness • Conduct exploratory analysis on large and complex datasets to validate hypotheses and support decision-making • Assess downstream implications and operational risks of proposed changes before implementation • Translate analytical findings into clear recommendations for technical and non-technical stakeholders • Collaborate closely with engineers, data scientists, and security researchers to gather context and resolve blockers independently • Operate effectively in a fast-paced environment with shifting priorities and short delivery cycles • Contribute to improving analytical methodologies and approaches within the newly forming team

🎯 Requirements

• 5+ years of experience in Data Science, Analytics Engineering, Data Analytics, or related analytical roles • Strong proficiency in Python and SQL • Experience working with large-scale and complex datasets • Strong analytical and problem-solving skills with the ability to independently structure ambiguous problems • Proven experience driving investigations from hypothesis generation to data-backed conclusions • Strong engineering mindset with the ability to understand and reason about complex logic and codebases • Ability to evaluate system behavior and understand downstream impacts of analytical decisions • Experience collaborating cross-functionally with engineering and research teams • Ability to work autonomously with minimal supervision • Upper-Intermediate or higher English level • Familiarity with JavaScript • Experience with Snowflake • Experience in cybersecurity, fraud detection, or risk analytics domains • Experience working with rule-based systems or detection pipelines • Exposure to enterprise-scale analytics platforms • Understanding of data pipeline architecture and signal processing systems

🏖️ Benefits

• Remote/hybrid work opportunity • Opportunity to work on technically sophisticated products • Opportunity to influence analytical practices from the early stages • Collaboration with experienced international teams